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Patterns in the Chaos - A Study of Performance Variation and Predictability in Public IaaS Clouds., and . ACM Trans. Internet Techn., 16 (3): 15:1-15:23 (2016)Structured information on state and evolution of dockerfiles on github., , and . MSR, page 26-29. ACM, (2018)Developer targeted analytics: supporting software development decisions with runtime information.. ASE, page 892-895. ACM, (2016)Performance Prediction From Source Code Is Task and Domain Specific., , , and . ICPC, page 35-42. IEEE, (2023)Interactive Static Software Performance Analysis in the IDE., , and . ICPC, page 490-494. IEEE, (2021)Counterfactual Explanations for Models of Code., , , and . Software Engineering, volume P-343 of LNI, page 91-92. Gesellschaft für Informatik e.V., (2024)The making of cloud applications: an empirical study on software development for the cloud., , , and . ESEC/SIGSOFT FSE, page 393-403. ACM, (2015)Revealing the Vicious Circle of Disengaged User Acceptance: A SaaS Provider's Perspective., , and . ICIS, Association for Information Systems, (2019)The Making of Cloud Applications An Empirical Study on Software Development for the Cloud., , , and . CoRR, (2014)Identifying Root Causes of Web Performance Degradation Using Changepoint Analysis., , , and . ICWE, volume 8541 of Lecture Notes in Computer Science, page 181-199. Springer, (2014)